const (
	f32 = 1 + smallestFloat32
	x32 float32 = f32
	y32 = float32(f32)
	_ = assert(x32 - y32 == 0)
)

const (
	f64 = 1 + smallestFloat64
	x64 float64 = f64
	y64 = float64(f64)
	_ = assert(x64 - y64 == 0)
)

const (
	_ = int8(-1) << 7
	_ = int8 /* ERROR "overflows" */ (-1) << 8

	_ = uint32(1) << 31

	{"complex", `type F32 float32; var re, im F32; _ = complex(re, im)`, `func(p.F32, p.F32) complex64`},
	{"complex", `type F64 float64; var re, im F64; _ = complex(re, im)`, `func(p.F64, p.F64) complex128`},

	{"copy", `var src, dst []byte; copy(dst, src)`, `func([]byte, []byte) int`},
	{"copy", `type T [][]int; var src, dst T; _ = copy(dst, src)`, `func(p.T, p.T) int`},

		_ = s[0]
		i++
	}

	var c chan int
	c <- 1 % i
}

func f32() uint32 {
	s := "\x00\x00\x00\x00"
	c := uint32(s[0]) | uint32(s[1])<<8 | uint32(s[2])<<16 | uint32(s[3])<<24
	return 1 / c
}
func f64() uint64 {
	s := "\x00\x00\x00\x00\x00\x00\x00\x00"
	c := uint64(s[0]) | uint64(s[1])<<8 | uint64(s[2])<<16 | uint64(s[3])<<24 | uint64(s[4])<<32 | uint64(s[5])<<40 | uint64(s[6])<<48 | uint64(s[7])<<56
	return 1 / c

	{"complex", `type F32 float32; var re, im F32; _ = complex(re, im)`, `func(p.F32, p.F32) complex64`},
	{"complex", `type F64 float64; var re, im F64; _ = complex(re, im)`, `func(p.F64, p.F64) complex128`},

	{"copy", `var src, dst []byte; copy(dst, src)`, `func([]byte, []byte) int`},
	{"copy", `type T [][]int; var src, dst T; _ = copy(dst, src)`, `func(p.T, p.T) int`},

}

// CHECK-LABEL: QuantizeAssignVariableWithDequantAndNotEqualType
func.func @QuantizeAssignVariableWithDequantAndNotEqualType(%arg0 : tensor<1x2x1x3x!quant.uniform<i8:f64, 1.0>>) -> tensor<1x2x1x3x!quant.uniform<i8:f64, 1.0>> {
  %1 = "tfl.var_handle"() : () -> tensor<!tf_type.resource>
  %2 = "tfl.read_variable"(%1) : (tensor<!tf_type.resource>) -> tensor<1x2x1x3xf32>

  // CHECK-LABEL: mirror_pad
  func.func @mirror_pad(%arg0: tensor<2x3xcomplex<f64>>) -> tensor<4x7xcomplex<f64>> {
    %0 = mhlo.constant dense<[[1, 1], [2, 2]]> : tensor<2x2xi32>
    // CHECK-NOT: tf.MirrorPad
    %1 = "tf.MirrorPad"(%arg0, %0) {mode = "SYMMETRIC"} : (tensor<2x3xcomplex<f64>>, tensor<2x2xi32>) -> tensor<4x7xcomplex<f64>>
    func.return %1 : tensor<4x7xcomplex<f64>>
  }

  // CHECK-LABEL: bucketize

func fnma(x, y, z float64) float64 {
	// riscv64:"FNMADDD",-"FNMSUBD"
	return math.FMA(x, -y, -z)
}

func fromFloat64(f64 float64) uint64 {
	// amd64:"MOVQ\tX.*, [^X].*"
	// arm64:"FMOVD\tF.*, R.*"
	// ppc64x:"MFVSRD"
	// mips64/hardfloat:"MOVV\tF.*, R.*"
	return math.Float64bits(f64+1) + 1
}

func fromFloat32(f32 float32) uint32 {
	// amd64:"MOVL\tX.*, [^X].*"
	// arm64:"FMOVS\tF.*, R.*"

		}

	case AFMOVD:
		if p.From.Type == obj.TYPE_FCONST {
			f64 := p.From.Val.(float64)
			if c.chipfloat7(f64) > 0 {
				break
			}
			if math.Float64bits(f64) == 0 {
				p.From.Type = obj.TYPE_REG
				p.From.Reg = REGZERO
				break
			}
			p.From.Type = obj.TYPE_MEM
			p.From.Sym = c.ctxt.Float64Sym(f64)
			p.From.Name = obj.NAME_EXTERN
			p.From.Offset = 0
		}
	}

	u64  uint64
	i8   int8
	i16  int16
	i32  int32
	i64  int64
	f32  float32
	f64  float64
	c64  complex64
	c128 complex128
	b    byte
	r    rune
	u    uint
	in   int
	uip  uintptr
	s    string
}

func newStructT() structT {
	return structT{
		f32:  1.01,
		f64:  1.01,
		c64:  complex(float32(1.01), float32(1.01)),
		c128: complex(float64(1.01), float64(1.01)),

					args[1] = fmt.Sprintf("$%s(SB)", s)
				} else {
					args[1] = fmt.Sprintf("$%#x", x)
				}

			case VLDR_EQ:
				switch {
				case strings.HasPrefix(args[0], "D"): // VLDR.F64
					if _, err := text.ReadAt(buf, int64(addr)); err != nil {
						break
					}
					args[1] = fmt.Sprintf("$%f", math.Float64frombits(binary.LittleEndian.Uint64(buf)))
				case strings.HasPrefix(args[0], "S"): // VLDR.F32