vars[idx] = escaper + "<binary>" + escaper
			}
		case int, int8, int16, int32, int64, uint, uint8, uint16, uint32, uint64:
			vars[idx] = utils.ToString(v)
		case float32:
			vars[idx] = strconv.FormatFloat(float64(v), 'f', -1, 32)
		case float64:
			vars[idx] = strconv.FormatFloat(v, 'f', -1, 64)
		case string:
			vars[idx] = escaper + strings.ReplaceAll(v, escaper, escaper+escaper) + escaper
		default:

//
// 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.
//

		{name: "MOVWD", argLength: 1, reg: fp11, asm: "MOVWD"},     // int32 -> float64
		{name: "TRUNCFW", argLength: 1, reg: fp11, asm: "TRUNCFW"}, // float32 -> int32
		{name: "TRUNCDW", argLength: 1, reg: fp11, asm: "TRUNCDW"}, // float64 -> int32
		{name: "MOVFD", argLength: 1, reg: fp11, asm: "MOVFD"},     // float32 -> float64

	case "uintptr":
		return fmt.Sprintf("%s(%#x)", t2, uintptr(v))
	case "float32":
		v := float32(v)
		if math.IsInf(float64(v), -1) {
			return "float32(math.Inf(-1))"
		}
		if math.IsInf(float64(v), +1) {
			return "float32(math.Inf(+1))"
		}
		return fmt.Sprintf("%s(%v)", t2, float64(v))
	case "float64":
		return fmt.Sprintf("%s(%v)", t2, float64(v))
	}
	panic(t2)

    "'h_scale' type: 'float'} attr : { name: 'max_classes_per_detection' "
    "type: 'int'} attr : { name: 'max_detections' type: 'int'} attr : { "
    "name: 'nms_iou_threshold' type: 'float'} attr : { name: "
    "'nms_score_threshold' type: 'float'} attr : { name: 'num_classes' type: "
    "'int'} attr : { name: 'w_scale' type: 'float'} attr : { name: 'x_scale' "
    "type: 'float'} attr : { name: 'y_scale' type: 'float'} attr { name: "

		{uint16(93), "(uint16) 93\n"},
		{uint32(93), "(uint32) 93\n"},
		{uint64(93), "(uint64) 93\n"},
		{uintptr(93), "(uintptr) 0x5d\n"},
		{ptrint(93), "(*int)(93)\n"},
		{float32(93.76), "(float32) 93.76\n"},
		{float64(93.76), "(float64) 93.76\n"},
		{complex64(93i), "(complex64) (0+93i)\n"},
		{complex128(93i), "(complex128) (0+93i)\n"},
		{bool(true), "(bool) true\n"},
		{bool(false), "(bool) false\n"},

}

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 {

	// be in the top bits of the slot. Floats are usually just
	// directly represented, but some architectures treat narrow
	// width floating point values specially (e.g. they're promoted
	// first, or they need to be NaN-boxed).
	Ints   [IntArgRegs]uintptr  // untyped integer registers
	Floats [FloatArgRegs]uint64 // untyped float registers

	// Fields above this point are known to assembly.

		_ int        = g(1, 2)
		_ rune       = g(1, 'a')
		_ float64    = g(1, 'a', 2.3)
		_ float64    = g('a', 2.3)
		_ complex128 = g(2.3, 'a', 1i)
	)
	g(true, 'a' /* ERROR "mismatched types untyped bool and untyped rune (cannot infer P)" */)
	g(1, "foo" /* ERROR "mismatched types untyped int and untyped string (cannot infer P)" */)
	g(1, 2.3, "bar" /* ERROR "mismatched types untyped float and untyped string (cannot infer P)" */)

		{name: "TRUNCFV", argLength: 1, reg: fp11, asm: "TRUNCFV"}, // float32 -> int64
		{name: "TRUNCDV", argLength: 1, reg: fp11, asm: "TRUNCDV"}, // float64 -> int64
		{name: "MOVFD", argLength: 1, reg: fp11, asm: "MOVFD"},     // float32 -> float64
		{name: "MOVDF", argLength: 1, reg: fp11, asm: "MOVDF"},     // float64 -> float32

		// function calls